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Characterization of Immune Genotypes and Antibody Profiles to Foster the discoVERY of diagnosticbioMARKERS of Liver Cancer Development

Characterization of Immune Genotypes and Antibody Profiles to Foster the discoVERY of diagnosticbioMARKERS of Liver Cancer Development

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06718530
Acronym
VERYMARKERS
Enrollment
1000
Registered
2024-12-05
Start date
2024-05-13
Completion date
2026-12-31
Last updated
2024-12-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hepatitis C Virus Infection

Brief summary

Hepatitis C virus (HCV), which infects more than 185 million people, is a major risk factor. Direct-acting antiviral (DAA) therapy has significantly improved the eradication of the virus, but has not completely eliminated the risk of HCC, so careful surveillance is necessary. The genetic diversity of the natural killer receptor, histocompatibility antigens (HLA) and interferon lambda 4 (INFL4) activity, among other factors, have been found to be crucial in directing disease progression. Importantly, these markers are detectable years before the diagnosis of HCC. In addition, polymorphic variants attributable to the expression of genes involved in innate-type immune response, such as IFNL4 and HLA-E, have been shown to be predictive for the development of HCC and have not yet been extensively studied. The aim of the study is to evaluate novel circulating biomarkers, including the presence of antibodies to specific HCV proteome peptides, IFNL4 expression, and the interaction of specific HLA receptors/ligands in a large cohort of HCV-positive subjects in order to create a screening strategy for the early diagnosis of HCV-associated HCC. Part of the study will be devoted to describing the immune microenvironment associated with the expression of IFNL4 and HLAE, evaluating them as potential prognostic indicators for HCC in HCV-infected subjects undergoing surgery for HCC, as well as in those with advanced/metastatic HCC.

Interventions

None listed

Sponsors

Centro di Riferimento Oncologico - Aviano
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients aged ≥18 years with the presence of chronic infection, fibrosis, cirrhosis or HCV- associated HCC * Patients able to understand and willing to sign the of informed consent * Patients to answer the questions in the questionnaire of enrollment

Exclusion criteria

* Treatment for other oncological diseases * Immunodepression congenital or acquired (HIV, organ transplantation, pharmacological)

Design outcomes

Primary

MeasureTime frameDescription
Difference in antibody profile between subjects with and without chronic HCV infectionup to 2 yearsMean or median difference between the groups, as appropriate, will be calculated
Difference in antibody profile between subjects with chronic HCV infection receiving or not receiving DAA therapyup to 2 yearsMean or median difference between the groups, as appropriate, will be calculated

Secondary

MeasureTime frameDescription
Characterization of Interferon Lambda 4 (INFL4) and Human Leukocyte antigene (HLA-E) variants within patient with or without HCV related hepatocarcinoma (HCC)up to 2 yearsFrequencies of genetic variants within patient with or without HCV related hepatocarcinoma (HCC) will be reported
Define a relationship between IgG levels toward HCV-specific peptides and viral load/development clinical after 2 years of follow-upup to 2 yearsCorrelation coefficient between the highest IgG levels towards at least one specific HCV peptide and high viral load will be calculated
Define the mRNA pathways activated in the subjects with expression of INFL4 and of HLA-Eup to 2 yearsData will be illustrated with volcano plot and heat map
Characterization of INFL4 and HLA-E variants within patient with or without HCV related chronic hepatitisup to 2 yearsFrequencies of genetic variants within patient with or without HCV related chronic hepatitis will be reported
Define a relationship between IgG levels toward HCV-specific peptides and HCV genotypeup to 2 yearsRelation will be analyzed with logistic regression analysis and represented with Odds Ratio (OR) and relative 95% Confidence Interval (95% CI)

Countries

Italy

Contacts

Primary ContactValli De Re, PhD
vdere@cro.it+39 0434 659672

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026